Skill

Fine-Tune a ResNet50 Model on Varied Dataset Sizes

December 2024 with Jonathan Barrios

Join Jonathan Barrios as we learn to adapt our pre-trained models to new tasks by customizing them to understand and use data that comes in diverse sizes and structures.

Recommended Experience

Familiarity with Python programming
Basic understanding of transfer learning concepts
Experience with image data preprocessing

Related certifications

Professional TensorFlow Developer

Related Job Functions

Machine learning engineer
Computer vision engineer
AI Developer

Jonathan Barrios brings over a decade of teaching experience to deliver cutting-edge programming, data analytics, data science, and machine learning skills to CBT Nuggets.

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Skill Outline

1. Explore Fine-TuningCompare Feature Extraction to Fine-Tuning (0:01)
2. Explore Food_10 Dataset in Three Sizes (0:01)
3. Explore a new TensorFlow methods:image_dataset_from_directory data.AUTOTUNE (not T-Pain 😅) (0:02)
4. Explore Keras Applications Vs TensorFlow Hub (0:01)
5. Fine-Tune the Top 10 Unfrozen Layers (0:01)
6. CHALLENGE (0:08)

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